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Chemotherapy side-effect management using mobile phones.

PAPER pubmed Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2008 Other Effect: unclear Evidence: Very low

Abstract

Colorectal cancer is a major health problem in developed countries, accounting for a significant proportion of deaths in the population. Advances in chemotherapy treatment have led to therapy being delivered in the home-setting, which presents challenges in ensuring that treatment-related side-effects are detected and reported to clinical staff in an appropriate time-frame. A telemedicine system has been developed using a mobile-phone platform to allow patients to complete symptom diaries which trigger alerts paged to their nurse in the event of severe side-effects. Six patients used this system for two cycles of oral chemotherapy. Two cases of moderate symptoms deteriorating to more severe conditions were observed, and individual self-care and treatment advice were presented to these patients.

AI evidence extraction

At a glance
Study type
Other
Effect direction
unclear
Population
Patients receiving oral chemotherapy for colorectal cancer
Sample size
6
Exposure
mobile phone · two cycles of oral chemotherapy
Evidence strength
Very low
Confidence: 74% · Peer-reviewed: yes

Main findings

A mobile-phone telemedicine system was developed for patients to complete symptom diaries that trigger nurse alerts for severe side-effects. Six patients used the system for two chemotherapy cycles; two cases of moderate symptoms deteriorating to more severe conditions were observed and advice was presented to these patients.

Outcomes measured

  • Detection and reporting of chemotherapy side-effects
  • Symptom diary completion
  • Alerts to clinical staff (nurse paging)
  • Self-care and treatment advice delivery

Limitations

  • Very small sample size (six patients)
  • No comparator/control group described
  • Clinical outcomes and effectiveness metrics not quantified in the abstract
View raw extracted JSON
{
    "study_type": "other",
    "exposure": {
        "band": null,
        "source": "mobile phone",
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": "two cycles of oral chemotherapy"
    },
    "population": "Patients receiving oral chemotherapy for colorectal cancer",
    "sample_size": 6,
    "outcomes": [
        "Detection and reporting of chemotherapy side-effects",
        "Symptom diary completion",
        "Alerts to clinical staff (nurse paging)",
        "Self-care and treatment advice delivery"
    ],
    "main_findings": "A mobile-phone telemedicine system was developed for patients to complete symptom diaries that trigger nurse alerts for severe side-effects. Six patients used the system for two chemotherapy cycles; two cases of moderate symptoms deteriorating to more severe conditions were observed and advice was presented to these patients.",
    "effect_direction": "unclear",
    "limitations": [
        "Very small sample size (six patients)",
        "No comparator/control group described",
        "Clinical outcomes and effectiveness metrics not quantified in the abstract"
    ],
    "evidence_strength": "very_low",
    "confidence": 0.7399999999999999911182158029987476766109466552734375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "colorectal cancer",
        "chemotherapy",
        "side-effect management",
        "telemedicine",
        "mobile phone",
        "symptom diary",
        "nurse alert",
        "home-based care"
    ],
    "suggested_hubs": []
}

AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract/metadata and may be incomplete or incorrect. This content is for informational purposes only and is not medical advice.

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